Results 171 to 180 of about 794,564 (269)

Toward a human‐centric co‐design methodology for AI detection of differences between planned and delivered dose in radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising, Frank Verhaegen, Stefan G. Scheib, Maria J. G. Jacobs, Carol X. J. Ou, Viola Mottarella, Yin‐Ho Chong, Mariangela Zamburlini, Sebastiaan M. J. J. G. Nijsten, Ans Swinnen, Michel Öllers, Cecile J. A. Wolfs   +11 more
wiley   +1 more source

Experimental and numerical study of the acoustic performance of a novel composite core thermal break

Case Studies in Construction Materials
This study assesses the acoustic performance of a novel thermal break system with composite cores through both experimental testing and Finite element (FE) analysis. The research explores the effects of varying the thicknesses of key materials, including
Tran-Van Han, Gayoon Lee, Yun-Seong Shin, Sungwoo Woo, Kihak Lee   +4 more
doaj  

Large-scale deep unsupervised learning using graphics processors [PDF]

, 2009
Rajat Raina, Anand Madhavan, Andrew Y. Ng   +2 more
openalex   +1 more source

BreastWatch: A Varian Eclipse script tool for Community‐Based automatic evaluation of breast treatment plans

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This work introduces BreastWatch, a Varian Eclipse script tool designed to help medical physicists, dosimetrists, and radiation oncologists easily inspect and improve External Beam Breast Treatment (EBBT) plans using automatic evaluation of protocol dose‐constraints enhanced by a Community‐Based approach.
Stefano Agostinelli, Daniele Zefiro, Stefania Garelli, Francesca Cavagnetto, Marco Gusinu, Monica Bevegni, Gladys Blandino, Alessandra Fozza, Fabrizio Levrero   +8 more
wiley   +1 more source

A Survey Analyzing Generalization in Deep Reinforcement Learning [PDF]

arXiv
Reinforcement learning research obtained significant success and attention with the utilization of deep neural networks to solve problems in high dimensional state or action spaces. While deep reinforcement learning policies are currently being deployed in many different fields from medical applications to large language models, there are still ongoing
arxiv  

Forward to basiest. Deep-level-learning and the experiential approach

, 2002
Ferre Loevers
openalex   +2 more sources

Assessment of a medical physics educational program for science teachers

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Medical physics is a fulfilling profession where physics is applied to advance human health. However, many are uninformed of the role of physicists in medicine, and students are unaware of this career pathway. This study presents a pilot 1‐year program for science teachers to learn about physics in medicine and share with students
Ashley J. Cetnar, Jeffrey Woollard, Lin Ding   +2 more
wiley   +1 more source

Deep Learning for Beginners

, 2022
The aim of the present handbook is to drive the reader toward a deepen knowledge of Deep Learning (DL) methodologies and their functioning. Even if DL has ancient ancestry, only in recent years they have been strongly revalued and consequently applied. However, it is noteworthy that in this field, the increasing computational power played a fundamental
openaire   +3 more sources

Comprehensive clinical evaluation of novel 4DCT‐based lung function imaging methods

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Methods have been developed that apply image processing to 4DCTs to generate 4DCT‐ventilation/perfusion lung imaging. Traditional methods for 4DCT‐ventilation rely on Hounsfield‐Unit (HU) density‐change methods and suffer from poor numerical robustness while not providing 4DCT‐perfusion data.
Ehsan Golkar, Taindra Neupane, Lydia Wilson, Jennifer Kwak, Richard Castillo, Edward Castillo, Yevgeniy Vinogradskiy   +6 more
wiley   +1 more source

Structural test and FEM analysis of a thermal bridge connection employing the UHPC system for concrete cladding wall

Results in Engineering
The paper describes the technical design used to develop a structure model that improved thermal insulation properties and structural performance.
Nguyen Huu Cuong, Hyoseo An, Tran-Van Han, Sanghee An, Jiuk Shin, Kihak Lee   +5 more
doaj